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Fit Bayesian Regression Additive Trees (BART) models to select true confounders from a large set of potential confounders and to estimate average treatment effect. For more information, see Kim et al. (2023) <doi:10.1111/biom.13833>.
| Version: | 1.2.2 |
| Depends: | R (≥ 3.4.0) |
| Imports: | coda (≥ 0.4.0), ggcharts, ggplot2, invgamma, MCMCpack, Rcpp, rlang, rootSolve, stats |
| LinkingTo: | Rcpp |
| Suggests: | knitr, microbenchmark, rmarkdown |
| Published: | 2024-05-01 |
| Author: | Yeonghoon Yoo [aut, cre] |
| Maintainer: | Yeonghoon Yoo <yooyh.stat at gmail.com> |
| BugReports: | https://github.com/yooyh/bartcs/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/yooyh/bartcs |
| NeedsCompilation: | yes |
| Citation: | bartcs citation info |
| Materials: | README NEWS |
| In views: | Bayesian |
| CRAN checks: | bartcs results |
| Reference manual: | bartcs.pdf |
| Vignettes: |
Introduction to bartcs |
| Package source: | bartcs_1.2.2.tar.gz |
| Windows binaries: | r-devel: bartcs_1.2.2.zip, r-release: bartcs_1.2.2.zip, r-oldrel: bartcs_1.2.2.zip |
| macOS binaries: | r-release (arm64): bartcs_1.2.2.tgz, r-oldrel (arm64): bartcs_1.2.2.tgz, r-release (x86_64): bartcs_1.2.2.tgz, r-oldrel (x86_64): bartcs_1.2.2.tgz |
| Old sources: | bartcs archive |
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These binaries (installable software) and packages are in development.
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